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An Analytical and Data-discovered Accurate and Stable Subgrid-scale Closure for Geophysical Turbulence
DATA-DRIVEN SCIENCE: DEVELOPMENTS IN MACHINE LEARNING SUBGRID-SCALE PARAMETERIZATIONS AND IN REANALYSES ACROSS EARTH SYSTEM MODELING I ORAL
nonlinear geophysics | 12 december 2024
Karan Jakhar, Yifei Guan, Pedram Hassanzadeh
Subgrid-scale (SGS) closures (parameterizations) are essential for many processes in the climate systems. However, closures from first principles are ...
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Extreme Value Theory: A Suitable Tool for the Rarest Extreme Weather Events?
EXTREME VARIABILITY AND COMPLEXITY: BRIDGING MATHEMATICS, PHYSICS, AND INFORMATION TECHNOLOGIES FROM URBAN SYSTEMS TO CLIMATE, GEOPHYSICS, AND PANDEMICS II POSTER
nonlinear geophysics | 11 december 2024
Qingyuan Yang, Amaury Lancelin, Karan Jakhar, Anth...
Generalized Extreme Value (GEV) distribution is an ideal probabilistic model to study extreme weather and climate events. The difficulty in working wi...
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Learning Closed‐Form Equations for Subgrid‐Scale Closures From High‐Fidelity Data: Promises and Challenges
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
02 july 2024
Karan Jakhar, Yifei Guan, Rambod Mojgani, Ashesh K...
There is growing interest in discovering interpretable, closed‐form equations for subgrid‐scale (SGS) closures/parameterizations of com...
Learning Closed-form Equations for Subgrid-scale Closures from High-fidelity Data: Promises and Challenges
MACHINE LEARNING SUBGRID-SCALE PARAMETERIZATIONS FOR EARTH SYSTEM MODELING II POSTER
nonlinear geophysics | 14 december 2023
Karan Jakhar, Yifei Guan, Rambod Mojgani, Ashesh K...
There is growing interest in discovering interpretable, closed-form equations for subgrid-scale (SGS) closures/parameterizations of complex processes ...
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Closed-form Discovery of Subgrid-Scale Closures: Promises and Challenges
DATA-DRIVEN SUBGRID-SCALE PARAMETERIZATIONS FOR EARTH SYSTEM MODELING III POSTER
nonlinear geophysics | 13 december 2022
Karan Jakhar, Yifei Guan, Ashesh K. Chattopadhyay,...
Resolving the entire range of relevant spatial and temporal scales in turbulent flows can be computationally prohibitive. As a result, in practice, tu...
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